• 제목/요약/키워드: Patient Demographics

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Endodontic flare-ups incidence and related factors

  • Jung, Hye-Young;Choi, Kyoung-Kyu;Choi, Gi-Woon
    • 대한치과보존학회:학술대회논문집
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    • 대한치과보존학회 2003년도 제120회 추계학술대회 제 5차 한ㆍ일 치과보존학회 공동학술대회
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    • pp.555-555
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    • 2003
  • The purpose of this prospective study was to assess the incidence of flare-ups among patients who received endodontic treatment for the last 11 months and to examine the correlation with pre-operative and operative variables. Data were gathered on 840 teeth of 755 patients over 11 months. At first visit, information was obtained on each patient as to their demographics, presenting signs, symptoms and diagnosis, and treatment performed. Treatment procedures were routine. If additional appointments were necessary, the access cavity was closed with a dry cotton pellet and ZOE.(omitted)

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신규간호사의 간호업무누락 영향요인 (Factors Influencing Care Left Undone among Newly Graduated Nurses)

  • 김은영;오윤경
    • 동서간호학연구지
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    • 제25권1호
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    • pp.33-40
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    • 2019
  • Purpose: The purpose of this study was to identify factors that affect care left undone among newly graduated nurses. Methods: Participants were 236 newly graduated nurses with less than 1 year of experience from 5 general hospitals in Busan. Self-report questionnaires were completed by nurses between October and November, 2016. Data were analyzed using t-test, ANOVA and multiple regression analysis with the SPSS/WIN 25.0 Program. Results: The mean score for care left undone was $2.18{\pm}1.43$. Factors influencing care left undone were monthly income and working environment. Regression analysis showed that working environment and monthly income explained 11.0% of the variance while controlling for participants' demographics and work characteristics. Conclusion: The findings suggest that better working environment and appropriate monthly income are important to reduce care left undone in hospitals. The quality of nursing and patient safety may be ensured by reducing care left undone.

Liver Involvement in Children with Alpha-1 Antitrypsin Deficiency: A Multicenter Study

  • Cakir, Murat;Sag, Elif;Islek, Ali;Baran, Masallah;Tumgor, Gokhan;Aydogdu, Sema
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • 제23권2호
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    • pp.146-153
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    • 2020
  • Purpose: Alpha-1 antitrypsin deficiency (A1ATD) in one of the most common genetic causes of liver disease in children. We aimed to analyze the clinical characteristics and outcomes of patients with A1ATD. Methods: This study included patients with A1ATD from five pediatric hepatology units. Demographics, clinical findings, genetics, and outcome of the patients were recorded (n=25). Results: Eight patients (32.0%) had homozygous PiZZ genotype while 17 (68.0%) had heterozygous genotype. Patients with PiZZ genotype had lower alpha-1 antitrypsin levels than patients with PiMZ genotype (37.6±7.7 mg/dL vs. 66.5±22.7 mg/dL, p=0.0001). Patients with PiZZ genotype were diagnosed earlier than patients with PiMZ genotype, but this was not significant (13±6.8 months vs. 23.7±30.1 months, p=0.192). Follow-up revealed the death of one patient (12.5%) with a homozygous mutation, and revealed that one patient had child A cirrhosis, five patients (62.5%) had chronic hepatitis, and one patient (12.5%) was asymptomatic. Nine of the 17 patients with a heterozygous mutation had chronic hepatitis (52.9%), two (11.7%) had child A cirrhosis, and six (35.2%) were asymptomatic. Overall, 18 (72%) of the 25 children had liver pathology in the long-term. Conclusion: Although prevalence is rare, patients with liver disorders should be checked for alpha-1 antitrypsin levels. Moreover, long-term follow-up is essential because most patients have a liver pathology.

Outcome of complete acellular dermal matrix wrap with polyurethane implant in immediate prepectoral breast reconstruction

  • Naemonitou, Foteini;Mylvaganam, Senthurun;Salem, Fathi;Vidya, Raghavan
    • Archives of Plastic Surgery
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    • 제47권6호
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    • pp.567-573
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    • 2020
  • Background Polyurethane implants have been used on and off in breast reconstruction since 1991 while prepectoral breast reconstruction has gained popularity in recent times. In this study, we present our outcomes from the use of acellular dermal matrix (ADM) complete wrap with polyurethane implants in prepectoral breast reconstruction. Methods This is a retrospective review of prospectively maintained database from 41 patients receiving complete ADM wrap with prepectoral polyurethane implants over a 3-year period. Selection criteria were adapted from a previous study (4135 Trust Clinical Audit Database) evaluating prepectoral reconstruction with Braxon matrices. Patient demographics, operative data, surgical complications, and outcomes were collected and analyzed. Results A total of 52 implant reconstructions were performed in 41 patients with a mean follow-up of 14.3 months (range, 6-36 months). The overall reported complication rates including early (less than 6 weeks) and late complications. Early complications included two patients (4.9%) with wound dehiscence. One of which had an implant loss that was salvageable. Another patient (2%) developed red-breast syndrome and two women (4.9%) developed with seroma treated conservatively. Late complications included one patient (2%) with grade II capsular contraction, 12 patients with grade I-II rippling and two patients (4.9%) with grade III rippling. Conclusions We present our experience of prepectoral polyurethane implant using complete ADM wrap. This is one of the few papers to report on the outcome of the prepectoral use of polyurethane in immediate implant-based breast reconstruction. Our early observational series show satisfactory outcome and long-term results are warranted by a large multicenter study.

Personality Traits in Cancer Patients

  • Turhal, Nazim Serdar;Demirhan, Salih;Satici, Celal;Cinar, Caner;Kinar, Abdullah
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권8호
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    • pp.4515-4518
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    • 2013
  • Background: This study was planned to investigate the personality traits of cancer patients in different treatment settings, and to correlate the demographics with the personality features. Materials and Methods: A total of 237 patients referred either to Marmara University School of Medicine (MUSM) Oncology Outpatient Unit or to the private office of the faculty between March 10th and April 22nd, 2010 were enrolled in the study. The Big Five Mini Test was used to evaluate the 40 personality traits of the patients. Results: The study group consisted of 98 males (41.35%) and 139 females (58.65%) with a mean age of 51. Out of the 237, 73.9% had an educational level beyond the junior high school, and 47.3% of all patients reported a positive family history for cancer. A significant difference in terms of reconcilability, extraversion, and responsibility was observed between patients admitting to the university outpatient clinic and the private office (p<0.05). Reconcilability and extraversion were found to differ between genders significantly (p<0.05). The description of the patients by him/herself or by relatives displayed a significant difference in terms of openness (p<0.05). Parameters such as educational level, family history of cancer, age and marital status showed no relevance to their characters. No discordance was observed between the self-analysis of the patient and the patient's relatives. Conclusions: Patients with cancer are typically highly reconcilable and responsible, moderately stable, open and extraverted.

Applicability of Oncoplastic Breast Conserving Surgery in Asian Breast Cancer Patients

  • Lim, Geok-Hoon;Pineda, Lea Angela
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권7호
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    • pp.3325-3328
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    • 2016
  • Background: There are limited studies on oncoplastic breast conserving surgery in Asian women. We aimed to determine the applicability and safety of oncoplastic surgery, highlighting the specific circumstances when it will be most useful and compare our preferred technique with the worldwide practice of oncoplastic approaches. Materials and Methods: Breast cancer patients who underwent oncoplastic breast conserving surgery at a single institution from 1st May 2014-31st March 2015 were included. Data on patient demographics, tumor characteristics and the type of oncoplastic surgery performed were collected. Results: Nineteen breast cancer patients were identified. 42.1% of patients had grade I ptosis. The indications for surgery included a large tumor to breast size ratio (52.6%), multifocal/multicentric lesions (36.8%) and asymmetric breasts (10.6%), averting a mastectomy in 89.4%. Round block was the commonest technique in 63% of patients, in contrast to the inverted T pattern most frequently used in renowned institutions in the West. Mean and median tumor size and weight of specimen were 29.4/25mm (11 - 75mm) and 77g/64g (10 - 246g) respectively. Re-excision rate was 10.5%. Complete mastectomy was performed for one patient. One patient developed wound dehiscence which was treated conservatively. Cosmetic outcome was rated as excellent/good by 94.7% of patients. The patients remained clinically well after a median 16 months follow up. Conclusions: Oncoplastic breast conserving surgery is useful in a specific subgroup of Asian patients with a relatively small breast volume and minimal ptosis. Round block was the commonest technique in our series, in contrast to the worldwide utility of oncoplastic techniques. It is oncologically safe and has good cosmetic outcomes.

Strategy for salvaging infected breast implants: lessons from the recovery of seven consecutive patients

  • Yeo, Hyeonjung;Lee, Dongkyu;Kim, Jin Soo;Eo, Pil Seon;Kim, Dong Kyu;Lee, Joon Seok;Kwon, Ki Tae;Lee, Jeeyeon;Park, Ho Yong;Yang, Jung Dug
    • Archives of Plastic Surgery
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    • 제48권2호
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    • pp.165-174
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    • 2021
  • Background In recent years, implant-based breast reconstruction has been performed because of its simplicity, short operation time, and rapid recovery of patients. Several studies have reported treatment methods for implant surgery-related infection, which is a serious complication. The aim of this study was to introduce our strategy for salvaging infected implants and to evaluate its effectiveness. Methods The authors performed a retrospective study of 145 cases from 132 patients who underwent implant-based breast reconstruction from January 2012 to December 2018. Empirical antibiotics were immediately administered to patients with suspected infections. The patients then underwent salvage treatment including appropriate antibiotics, ultrasonography-guided aspiration, debridement, antibiotic lavage, and implant exchange through a multidisciplinary approach. Patient demographics, operative data, duration until drain removal, adjuvant treatment, and complications were analyzed. Results The total infection rate was 5.5% (8/145). A longer indwelling catheter period and adjuvant treatment were significantly associated with infection. The salvage treatment showed a success rate of 87.5% (7/8). Seven patients who received early aggressive salvage treatment recovered from infection. One patient with methicillin-resistant Staphylococcus aureus, who received salvage treatment 11 days after symptom onset, did not respond to drainage and antibiotic treatment. That patient subsequently underwent explantation. Conclusions In implant-based breast reconstruction, prevention of infection is of the utmost importance. However, if an infection is suspected, proactive empirical antibiotic therapy and collaboration with the necessary departments are required. Through a multidisciplinary approach and proactive early management, swift and appropriate salvage should be performed.

Enhancing Acute Kidney Injury Prediction through Integration of Drug Features in Intensive Care Units

  • Gabriel D. M. Manalu;Mulomba Mukendi Christian;Songhee You;Hyebong Choi
    • International journal of advanced smart convergence
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    • 제12권4호
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    • pp.434-442
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    • 2023
  • The relationship between acute kidney injury (AKI) prediction and nephrotoxic drugs, or drugs that adversely affect kidney function, is one that has yet to be explored in the critical care setting. One contributing factor to this gap in research is the limited investigation of drug modalities in the intensive care unit (ICU) context, due to the challenges of processing prescription data into the corresponding drug representations and a lack in the comprehensive understanding of these drug representations. This study addresses this gap by proposing a novel approach that leverages patient prescription data as a modality to improve existing models for AKI prediction. We base our research on Electronic Health Record (EHR) data, extracting the relevant patient prescription information and converting it into the selected drug representation for our research, the extended-connectivity fingerprint (ECFP). Furthermore, we adopt a unique multimodal approach, developing machine learning models and 1D Convolutional Neural Networks (CNN) applied to clinical drug representations, establishing a procedure which has not been used by any previous studies predicting AKI. The findings showcase a notable improvement in AKI prediction through the integration of drug embeddings and other patient cohort features. By using drug features represented as ECFP molecular fingerprints along with common cohort features such as demographics and lab test values, we achieved a considerable improvement in model performance for the AKI prediction task over the baseline model which does not include the drug representations as features, indicating that our distinct approach enhances existing baseline techniques and highlights the relevance of drug data in predicting AKI in the ICU setting.

Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings

  • Thomas Weikert;Saikiran Rapaka;Sasa Grbic;Thomas Re;Shikha Chaganti;David J. Winkel;Constantin Anastasopoulos;Tilo Niemann;Benedikt J. Wiggli;Jens Bremerich;Raphael Twerenbold;Gregor Sommer;Dorin Comaniciu;Alexander W. Sauter
    • Korean Journal of Radiology
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    • 제22권6호
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    • pp.994-1004
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    • 2021
  • Objective: To extract pulmonary and cardiovascular metrics from chest CTs of patients with coronavirus disease 2019 (COVID-19) using a fully automated deep learning-based approach and assess their potential to predict patient management. Materials and Methods: All initial chest CTs of patients who tested positive for severe acute respiratory syndrome coronavirus 2 at our emergency department between March 25 and April 25, 2020, were identified (n = 120). Three patient management groups were defined: group 1 (outpatient), group 2 (general ward), and group 3 (intensive care unit [ICU]). Multiple pulmonary and cardiovascular metrics were extracted from the chest CT images using deep learning. Additionally, six laboratory findings indicating inflammation and cellular damage were considered. Differences in CT metrics, laboratory findings, and demographics between the patient management groups were assessed. The potential of these parameters to predict patients' needs for intensive care (yes/no) was analyzed using logistic regression and receiver operating characteristic curves. Internal and external validity were assessed using 109 independent chest CT scans. Results: While demographic parameters alone (sex and age) were not sufficient to predict ICU management status, both CT metrics alone (including both pulmonary and cardiovascular metrics; area under the curve [AUC] = 0.88; 95% confidence interval [CI] = 0.79-0.97) and laboratory findings alone (C-reactive protein, lactate dehydrogenase, white blood cell count, and albumin; AUC = 0.86; 95% CI = 0.77-0.94) were good classifiers. Excellent performance was achieved by a combination of demographic parameters, CT metrics, and laboratory findings (AUC = 0.91; 95% CI = 0.85-0.98). Application of a model that combined both pulmonary CT metrics and demographic parameters on a dataset from another hospital indicated its external validity (AUC = 0.77; 95% CI = 0.66-0.88). Conclusion: Chest CT of patients with COVID-19 contains valuable information that can be accessed using automated image analysis. These metrics are useful for the prediction of patient management.

Characteristics of Korean Trauma Patients: A Single-center Analysis Using the Korea Trauma Database

  • Park, Youngeun;Chung, Min;Lee, Gil Jae;Lee, Min A;Park, Jae Jeong;Choi, Kang Kook;Hyun, Sung Youl;Jeon, Yang Bin;Ma, Dae Sung;Yoon, Yong-Cheol;Lee, Jungnam;Yoo, Byungchul
    • Journal of Trauma and Injury
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    • 제29권4호
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    • pp.155-160
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    • 2016
  • Purpose: Two years have passed since a level I trauma center was officially opened in the Gacheon Gil Hospital, South Korea. We analyzed 2014 and 2015 registered patient data from the Korean Trauma Data Base (KTDB) to identify trends in trauma patient care and factors that influence the quality of trauma care at the Gacheon Gil trauma center. Methods: Data was extracted from the KTDB included patient age, sex, systolic blood pressure at emergency room arrival, revised trauma score, injury severity score, trauma injury severity score, transfusion amount, and the cause of death was analyzed. Results: A total of 3269 trauma patients were admitted to our trauma center in 2014 and 3225 in 2015. Demographics and mechanism of injury were not significantly different between years. The severity of trauma injury was decreased in 2015 although the mortality rate was slightly increased. This requires further analysis. Conclusion: The aim of this study was to determine the general status and trends in trauma incidence and management outcomes for the Incheon area. We noted no significant changes in trauma status from 2014 to 2015. We need to collect and review trauma patient data over a long period in order to elucidate trauma incidence and management trends in the trauma field. Finally, studies using trauma patient data will indicate appropriate quality control factors for trauma care and help to improve the quality of trauma management.